MATH 319 Optimization
Designed to give students majoring in mathematics, engineering, the physical sciences, or business an introduction to the practice and theory of optimization. Topics include constrained and unconstrained optimization, optimality conditions, convexity, and duality. Additional topics may include semidefinite programming, integer programming, combinatorial optimization, and stochastic optimization. Applications of optimization will be explored in a variety of disciplines. Students will implement standard algorithms as well as utilize commercial solvers. Offered odd years.
Credits
4
Cross Listed Courses
ENGR 419
Distribution
Mathematics